Predicting food craving in everyday life through smartphone-derived sensor and usage data.

ABSTRACT:

Background

Food craving relates to unhealthy eating behaviors such as overeating or binge eating and is thus a promising target for digital interventions. Yet, craving varies strongly across the day and is more likely in some contexts (external, internal) than in others. Prediction of food cravings ahead of time would enable preventive interventions.

Objective

The objective of this study was to investigate whether upcoming food cravings could be detected and predicted from passive smartphone sensor data (excluding geolocation information) without the need for repeated questionnaires.

Methods

Momentary food craving ratings, given six times a day for 14 days by 56 participants, served as the dependent variable. Predictor variables were environmental noise, light, device

SUBMITTER: Schneidergruber T 

PROVIDER: S-EPMC10331138 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature